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Superconducting quantum computing: a review

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Abstract

Over the last two decades, tremendous advances have been made for constructing large-scale quantum computers. In particular, quantum computing platforms based on superconducting qubits have become the leading candidate for scalable quantum processor architecture, and the milestone of demonstrating quantum supremacy has been first achieved using 53 superconducting qubits in 2019. In this study, we provide a brief review on the experimental efforts towards the large-scale superconducting quantum computer, including qubit design, quantum control, readout techniques, and the implementations of error correction and quantum algorithms. Besides the state of the art, we finally discuss future perspectives, and which we hope will motivate further research.

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Acknowledgements

This work was supported by National Key Research and Development Program of China (Grant No. 2017YFA0304300), National Natural Science Foundation of China (Grant No. 11574380), Chinese Academy of Science and its Strategic Priority Research Program (Grant No. XDB28000000), Science and Technology Committee of Shanghai Municipality, and Anhui Initiative in Quantum Information Technologies. He-Liang HUANG acknowledges support from the Open Research Fund from State Key Laboratory of High Performance Computing of China (Grant No. 201901-01), National Natural Science Foundation of China (Grant No. 11905294), and China Postdoctoral Science Foundation.

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Authors and Affiliations

  1. Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, 230026, China

    He-Liang Huang, Dachao Wu, Daojin Fan & Xiaobo Zhu

  2. Shanghai Branch, CAS Centre for Excellence and Synergetic Innovation Centre in Quantum Information and Quantum Physics, University of Science and Technology of China, Shanghai, 201315, China

    He-Liang Huang, Dachao Wu, Daojin Fan & Xiaobo Zhu

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  1. He-Liang Huang
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  2. Dachao Wu
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Correspondence to He-Liang Huang or Xiaobo Zhu.

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Huang, HL., Wu, D., Fan, D. et al. Superconducting quantum computing: a review. Sci. China Inf. Sci. 63, 180501 (2020). https://doi.org/10.1007/s11432-020-2881-9

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